RECEIVE JAYWING'S RISK INSIGHTS

How to choose a risk modelling partner

Choosing a credit risk modelling partner? Learn what to look for, the questions to ask, common pitfalls to avoid and how to assess modelling consultancies with confidence.

Credit risk modelling statistics 2026: What risk managers need to know

Here is what the data shows and what it means for credit risk modelling decisions in 2026.

Fraud contamination in credit risk models: why portfolios stop behaving as expected

Fraud losses hiding inside credit risk models corrupt training data for years. Here's what a retrospective audit catches that backtesting can't.

FCA CP 26/7 and CRA reform: How will it impact credit risk models

CP26/7 makes multi-bureau credit reporting mandatory. Here's what credit risk teams should check now, before it changes who your models approve and decline.

15 mins with…Sally Felton. Lessons learned from 30 years in fraud risk

In this interview, we asked Sally what 30 years have taught her about where firms are still exposed. Here are her top six lessons.

Modernising regulated analytics (without rebuilding legacy controls)

Why analytics modernisation stalls when governance stays the same in regulated financial services.

15 mins with…Bilal Shaik Mohammad, Director of Sales, GCC

Combined vs bespoke models in credit risk: Does segmentation still add value?

Do segmented models improve credit risk performance? New analysis shows why combined ML models consistently outperform segmented approaches.

Hybrid case-based reasoning for better underwriting decisions

How machine learning and generative AI improve manual underwriting through better case selection, decision support and consistency.